On the Use of Bootstrapped Topologies in Coalescent-Based Bayesian MCMC Inference: A Comparison of Estimation and Computational Efficiencies

Coalescent-based Bayesian Markov chain Monte Carlo (MCMC) inference generates estimates of evolutionary parameters and their posterior probability distributions. As the number of sequences increases, the length of time taken to complete an MCMC analysis increases as well. Here, we investigate an app...

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Bibliografiset tiedot
Päätekijät: Rodrigo, Allen G., Tsai, Peter, Shearman, Helen
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Libertas Academica 2009
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Original Research
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC2747130/
https://ncbi.nlm.nih.gov/pubmed/19812730
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